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An on-chip colloidal magneto-optical gratingM. Prikockis, H. Wijesinghe, A. Chen, J. VanCourt, D. Roderick, and R. Sooryakumar Citation: Applied Physics Letters 108, 161106 (2016); doi: 10.1063/1.4947438 View online: http://dx.doi.org/10.1063/1.4947438 View Table of Contents: http://scitation.aip.org/content/aip/journal/apl/108/16?ver=pdfcov Published by the AIP Publishing Articles you may be interested in Plasmon-assisted high reflectivity and strong magneto-optical Kerr effect in permalloy gratings Appl. Phys. Lett. 102, 121907 (2013); 10.1063/1.4798657 Benchtop time-resolved magneto-optical Kerr magnetometer Rev. Sci. Instrum. 79, 123905 (2008); 10.1063/1.3053353 Optical manipulation of paramagnetic particles with on-chip detection using spin valve sensors Appl. Phys. Lett. 92, 014105 (2008); 10.1063/1.2829797 Evidence of native oxides on the capping and substrate of Permalloy gratings by magneto-optical spectroscopyin the zeroth- and first-diffraction orders Appl. Phys. Lett. 86, 231101 (2005); 10.1063/1.1944904 Magneto-optical nanoparticle-doped silica-titania planar waveguides Appl. Phys. Lett. 86, 011107 (2005); 10.1063/1.1844038
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An on-chip colloidal magneto-optical grating
M. Prikockis, H. Wijesinghe, A. Chen, J. VanCourt, D. Roderick, and R. Sooryakumara)
Department of Physics, The Ohio State University, Columbus, Ohio 43210, USA
(Received 26 January 2016; accepted 12 April 2016; published online 22 April 2016)
Interacting nano- and micro-particles provide opportunities to create a wide range of useful colloi-
dal and soft matter constructs. In this letter, we examine interacting superparamagnetic polymeric
particles residing on designed permalloy (Ni0.8 Fe0.2) shapes that are subject to weak time-orbiting
magnetic fields. The precessing field and magnetic barriers that ensue along the outer perimeter of
the shapes allow for containment concurrent with independent field-tunable ordering of the dipole-
coupled particles. These remotely activated arrays with inter-particle spacing comparable to the
wavelength of light yield microscopic on-chip surface gratings for beam steering and magnetically
regulated light diffraction applications. Published by AIP Publishing.[http://dx.doi.org/10.1063/1.4947438]
Diffraction gratings have played an important role in the
development of photonic crystals,1 meta-materials,2 plas-
monics,3 and have been central to technologies spanning from
spectroscopy4 and laser systems,5 to information communica-
tion.6 Initially produced with ruling machines,7 the need for
precise gratings has led to adaption of holographic,8 electron-6
and focused ion beam-based9 methods, to create these optical
elements. Such top-down methods allow fabrication of large
area structures; however, they require serial processing and
often involve long writing times. Particle self-assembly has
recently shown promise for bottom-up construction of peri-
odic patterns, including linear chains10 and close packed
arrays11 to create dynamic diffraction gratings.12 Similarly,
DNA and other surface anchoring techniques have been uti-
lized to pattern fixed gratings on surfaces.13
In this paper, we describe a microscopic colloidal grating
constructed of superparamagnetic beads that self-assemble
into periodic one- or two-dimensional (2-D) structures with
symmetries and spacing adjusted by a weak time-orbiting
magnetic field and underlying lithographically defined perm-
alloy patterns. The role of the permalloy is to confine the
beads by creating a magnetic potential barrier, as discussed in
Ref. 14. The resulting pre-designed magnetic confinement
potentials enable tuning of the diffraction associated with
regulated expansion and collapse of the ordered beads.14
Simulations confirm the observed diffraction symmetries and
their dependence on the initial bead positions. Rotation of
entire ordered clusters relative to the stationary microchip
offers another degree of freedom yielding promising applica-
tions, such as automated beam steering without the need for
mechanical movement. Furthermore, overlapping pattern geo-
metries provide a convenient framework to investigate grain
boundary formation at these length scales in the presence of
particle interactions and Brownian fluctuations.
Figure 1(a) schematically illustrates the primary feature
underlying the colloidal surface grating: a precessing external
magnetic field (HextðtÞ) in relation to a 50 nm thick permalloy
(Py, Ni0.8Fe0.2) pattern. The field, applied remotely via five
orthogonal electromagnets,14 magnetizes 2.8 lm diameter
superparamagnetic beads (Dynabeads, M-270 COOH catalog
# 14305D) and the permalloy. A custom-built reflection
microscope together with a Bertrand lens15 is used to image
the bead clusters and their diffraction patterns. The dipolar
bead coupling and bead-Py containment forces determine the
response of the dipoles. With the precessing field rotating
faster ð> 5 HzÞ than the time required for a dipole to adjust to
the changing potential energy profile, the beads experience
time-averaged forces. The dipole force, quantified for two ad-
jacent beads in Fig. 1(b), shows that the inter-bead interac-
tions can be tuned from attractive to repulsive by fixing the
in-plane magnetic field component ðH1Þ, and varying the field
FIG. 1. (a) Schematic of externally applied precessing magnetic field. (b)
Average in-plane magnetic dipole force experienced by a microbead with an
adjacent bead in an external field of H1 ¼ 30 Oe as a function of the out-of-
plane precession angle, H. (c) Contour plot of time-averaged magnetic
potential energy for a superparamagnetic bead atop a hexagonal Py thin-film
(side length, L=2) for H1 ¼ 30 Oe; H ¼ 45�. The distance between contours
is 500 kBT. (d) Average in-plane confinement forces directed along the x or
y axis. (e) 3-D magnetic potential energy landscapes for a rectangle (left),
hexagon (middle), and a composite of two overlapping Py hexagons (right).
a)E-mail: [email protected]. URL: http://www.physics.ohio-state.edu/
~soory/
0003-6951/2016/108(16)/161106/4/$30.00 Published by AIP Publishing.108, 161106-1
APPLIED PHYSICS LETTERS 108, 161106 (2016)
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16:14:15
angle H. The weight of the microbeads keeps them close to
the sample surface.
Figures 1(c) and 1(d) illustrate the time-averaged mag-
netic potential energy landscape for a superparamagnetic
bead residing on a hexagonal Py film and the confinement
force along the x and y axes. Potential energy profiles from
rectangular, hexagonal, and overlapping Py shapes are
shown in Figure 1(e).
Exploiting the symmetry of a rectangular trap, Figure 2
(top) shows the transition of a two-dimensional (2-D) cluster
into a quasi 1-D line. Microbeads loaded onto the 100 lm �30 lm Py rectangle and a precessing field ðH1 ¼ 35 Oe;H ¼ 25�Þ, results in two rows of ordered particles(Fig. 2(a)).
Reorienting the field to H1 ¼ 35 Oe; H ¼ 90� collapses the
beads to a single row along the long axis of the rectangle (Fig.
2(b)), with corresponding diffraction (Figs. 2(i) and 2(ii)). The
optimal length to width ðL=WÞ ratio to tune the particle order
from 2-D to 1-D is 0.3. Ratios of L=W ¼ 0:2 or 0.4 yield clus-
ters that lift off of the trap, or collapse into a 2-D close-packed
hexagonal lattice, respectively. To achieve the desired
ordering, the upper bound on the areal coverage is
�150 lm2=particle.
Figure 2 (bottom) shows a cluster and its corresponding
diffraction for 655 nm incident light on the hexagonal grating
for various field precession angles ðHÞ. The central 615�
spread of each rear focal plane view is shown. Diffraction
maxima that are clearly visible indicate well-ordered bead
constructs. The separation between diffraction orders widens
as the inter-bead spacing is reduced with increasing H.
Below the critical angle of 54:7� (Fig. 1(b)), for example, at
H ¼ 42� (Fig. 2(d), (iv)), the weakening inter-bead repulsion
affects their spatial order as evidenced by the lack of clarity
in the diffraction pattern, which is recovered as H tends to-
ward 0� or 90�.To study the effect of the initial bead positions on the
emergent diffraction pattern, numerical MATLAB simula-
tions (based on an adaptation of the gradient descent algo-
rithm) were performed with random initial x-y bead
coordinates. The time dependent bead positions are deter-
mined by numerically solving the Langevin equation in low
Reynolds number16
k� 6pgRdr
dt¼ �rU; (1)
where k � 3 is the near wall factor accounting for the nearby
surface, g the fluid viscosity, R and dr/dt the sphere radius
and velocity, and U the average magnetic potential energy
taking into account dipole interactions and the confinement
forces. The consequences of ignoring Brownian motion in
the simulation are discussed below.
The algorithm seeks the nearest local energy minimum
by descending along the steepest slope. Starting with an
N-bead configuration ~rt 2 R3N at time t, the small iterative
change D~rt that brings the system to a lower-energy configu-
ration ~rtþDt ¼~rt þ D~rt is sought under the constraint that a
bead cannot penetrate another bead or the Py shape. Once
the final equilibrium state is reached, a log-scale power spec-
tral density plot is generated using the bead positions in the
x-y plane.
Simulations were run on 165 randomly generated initial
bead positions. Figure 3 shows symmetries observed in the
simulation and corresponding examples from the experi-
ment. “Mixed” symmetry implies that some elements of
multiple rotational symmetries occur within a given cluster.
The number of different symmetries and their frequency of
occurrence in the simulation (percentages in Fig. 3) are con-
sistent with observations. Note that five-fold symmetry has
not been observed, which is plausible based on its rarity
(�1 %) in the simulation.
The results show that the Py shape has limited effect on
the overall symmetry of the confined cluster. Though beads
near the shape edges are influenced by the strong confine-
ment force, that force is transmitted to the rest of the cluster
via dipolar interactions between beads. Since the dipolar
forces are not associated with hard wall potentials, this could
explain why the shapes do not always impose their symmetry
upon the confined cluster.
While six-fold rotational symmetry is most prominent
on hexagonal patterns, oblique square-like symmetries are
also observed. Figure 3, row 1 shows simulations yielding
different symmetries with their corresponding diffraction
patterns presented in row 4. Rows 2 and 3 show the experi-
mental sample plane and diffraction patterns, respectively.
Despite the same field parameters ðH1 ¼ 30 Oe; H ¼ 26�Þ,
FIG. 2. (top) Ordered beads confined on a rectangular 100 lm � 30 lm Py
thin-film. The applied field is H1 ¼ 35 Oe; H ¼ 25�. (a) The field stop is fixed
upon a subset of the confined beads and (i) resulting rear focal plane reveals a
slightly oblique lattice. (b) Precessing field is changed to lie in-plane
(H1 ¼ 35 Oe; H ¼ 90�), collapsing beads into a single line (c). (ii) Zeroth
through second order diffraction maxima are visible. (bottom) Sample (c)–(e)
and rear focal (iii)–(v) planes for 2.8lm beads on hexagonal trap. A central
view of the beads is shown. The white light visible near each zeroth order
maxima is due to a low level of white light used to improve image quality.
161106-2 Prikockis et al. Appl. Phys. Lett. 108, 161106 (2016)
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16:14:15
the clusters sometimes exhibit different symmetries. The dif-
ferences in energy between these configurations are
�4 kBT=bead with the hexagonal configuration being ener-
getically more favorable.
The simulation indicates that the beads are not always
able to move into a hexagonal symmetry because (�26% of
the time, Fig. 3) they can become trapped in another configu-
ration that is a local energy minimum. While thermal energy
may assist the beads in better sampling the configuration
space, barrier energies between hexagonal and other symme-
tries are �7 kBT=bead, indicating that the cluster may not
always find the absolute minimum energy configuration even
with Brownian fluctuations. This statement is supported by
the experimental results and justifies the omission of
Brownian motion in the simulations.
Though multiple symmetries are achievable, only the
most regular and well-ordered bead lattices generally pro-
vide diffraction beyond first order. Higher orders are easily
visible when beads are close-packed because particle contact
stabilizes ordered lattices. However, repulsive dipolar forces,
Brownian fluctuations, differences in particle susceptibility,
and particle-substrate adhesion can often limit spatial order
within the planar lattice resulting in only first (and zeroth)
order diffraction maxima being visible. Nonetheless, this
study offers insight into bead structure symmetry, which has
not typically been the focus of other studies on colloidal
gratings.12,17–19
Another useful feature of the colloidal grating is the
control over the angular orientation of the entire confined
cluster. Figures 4(a) and 4(b) show a cluster which has been
rotated through an in-plane angle, D/ � 40�. The direction
of rotation is easily reversed by switching the field rotation
direction. Figure 4(c) shows the dependence of the cluster
rotation frequency, fc, as a function of the field driving fre-
quency, fd, for ðH1 ¼ 30 Oe; H ¼ 90�Þ. At low fd ð< 5 HzÞ,the beads can respond to the external field, resulting in
breakup and reformation20 of the structure leading to rela-
tively slow rotation times and a low fc. As fd increases, dipo-
lar interactions keep the structure intact, and the cluster
rotation follows linearly with the driving frequency.21 Note
that as a result of fluid drag, fd is about two orders of magni-
tude higher than fc. As shown in Figure 4d, fc also depends
on the cluster size20 with the viscous drag for the entire clus-
ter increasing with the number of particles.
Grain boundaries in solids are lattice defects that affect
scattering processes and influence electrical22 and thermal23
conductivities in 2-D thin-films, or pass bands within pho-
tonic crystal/meta-material devices.24 Thus, understanding
grain boundary formation and their dynamics is essential for
engineering robust materials.25,26 The freedom to create spe-
cific confinement potentials enables the design of polycrys-
talline clusters and grain boundaries by exploiting tunable
interactions and allowing convenient visualization with opti-
cal microscopy.27–29
As an illustration of forming grain boundaries, two
underlying hexagons offset by an angle a ¼ 26� are com-
bined into a single overall polygon (Fig. 4(e)), forcing seg-
ments of the cluster to align with the edges of both
hexagons. The result is a jammed, multi-grain state when the
particles coalesce. The corresponding diffraction pattern
(Fig. 4(f)) reveals an orientation mismatch of 19� between
the two grains. While the deviation from 26� to 19� can be
FIG. 4. (a) and (b) A close packed cluster is rotated, leading to rotation of
the diffraction pattern. (c) The cluster rotation frequency fc as a function of
external field driving frequency, fd. (d) The dependence of fc on the number
of beads in a cluster for fd¼ 20 Hz. The red lines in (c) and (d) are guides to
the eye. (e) A grain boundary formed on a composite Py structure and (f)
corresponding diffraction pattern indicates presence of two distinct grains.
FIG. 3. (row 1) Simulated and (row 2) experimental final bead configura-
tions for various symmetries. (row 3) Corresponding diffraction patterns for
bead configurations of row 2. (row 4) Diffractions patterns calculated from
row 1. The applied field is H1 ¼ 30 Oe; H ¼ 26�. The percentage of simu-
lated final configurations of each symmetry is shown.
161106-3 Prikockis et al. Appl. Phys. Lett. 108, 161106 (2016)
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16:14:15
attributed to the lack of sharpness of the trap potentials, it is
not surprising. When beads are loaded to the edge of the pol-
ygons, they feel the strongest asymmetry in the confinement
force (Fig. 1(d)), which becomes more symmetric toward the
center of the polygon and may allow grain orientations to
shift as the grains coalesce in the middle of the polygon; a
behavior consistent with the force profiles in Figure 1(d) for
jx=Lj; jy=Lj� 0:3. This feature thus offers the opportunity to
directly study the real-time dynamics of grain boundary
formation.
The current micro-grating technology is suited for appli-
cations such as a detector, a specialized optical setup not
requiring fast (<0.5 s) switching times,20 or a monochroma-
tor with no mechanical moving parts. Pairing this grating
with microfluidics, one could build an automated fluid-flow
regulator, using the diffraction to detect (and external fields
to influence) small flow rates in low Reynolds number devi-
ces. Additionally, utilizing particle sizes/spacing on the order
of 1 lm or less could allow for color change applications.
These approaches require faster switches and closer wave-
length matching to the visible such as in magnetic printing,30
security coding of documents,30 optical sensors,31–33 an all-
magnetic color display, or a magneto-optical lock system.
The authors acknowledge useful discussions with
Yuhang Yang. This work was supported in part by the U.S.
Army Research Office under Contract Nos. W911NF-10-1-
0353 and W911NF-14-1-0289.
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161106-4 Prikockis et al. Appl. Phys. Lett. 108, 161106 (2016)
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